Triple
T22637025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Rambouillet |
E558707
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Allainville
Allainville is a small French commune located in the Yvelines department in north-central France.
|
E1547337
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Allainville | Statement: [canton of Rambouillet, contains, Allainville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allainville Context triple: [canton of Rambouillet, contains, Allainville]
-
A.
Ollainville
Ollainville is a commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Bois-de-Villers
Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
-
C.
Morainvilliers
Morainvilliers is a small commune in the Yvelines department of north-central France, situated in the western suburbs of Paris.
-
D.
Lorrainville
Lorrainville is a small municipality in the Témiscamingue region of western Quebec, Canada, known for its rural character and forestry- and agriculture-based local economy.
-
E.
Varangéville
Varangéville is a commune in northeastern France’s Meurthe-et-Moselle department, known for its location along the Meurthe River and its historical salt mining industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Allainville Triple: [canton of Rambouillet, contains, Allainville]
Generated description
Allainville is a small French commune located in the Yvelines department in north-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allainville Target entity description: Allainville is a small French commune located in the Yvelines department in north-central France.
-
A.
Ollainville
Ollainville is a commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Bois-de-Villers
Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
-
C.
Morainvilliers
Morainvilliers is a small commune in the Yvelines department of north-central France, situated in the western suburbs of Paris.
-
D.
Lorrainville
Lorrainville is a small municipality in the Témiscamingue region of western Quebec, Canada, known for its rural character and forestry- and agriculture-based local economy.
-
E.
Varangéville
Varangéville is a commune in northeastern France’s Meurthe-et-Moselle department, known for its location along the Meurthe River and its historical salt mining industry.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700edb608190ad786ff7fafea0da |
completed | April 29, 2026, 2:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b585cf2388190b517312dc6172025 |
completed | May 18, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_6a0b6f5d272c8190bf66fa372fb2bb7d |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b706cba28819091d40e7832e61f97 |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 17, 2026, 3:03 p.m.